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., consultation with study staff at other sites). Optimal candidates will have knowledge of research methods and statistics commonly used in psychology and will carry out research tasks including literature reviews
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dictionaries Performing statistical and econometric analyses; designing and implementing machine learning algorithms; Preparing supporting materials for faculty research papers such as research reports, graphs
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study staff at other sites). Optimal candidates will have knowledge of research methods and statistics commonly used in psychology and will carry out research tasks including literature reviews for grants
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scientific community more broadly. As academics trained in applied statistics, we are well-positioned to offer advice on best practices for cutting-edge program evaluation to practitioners. Our setting also
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experiments using appropriate techniques and equipment Perform data analysis using statistical software and techniques Collaborate with team members to interpret and present findings Maintain laboratory
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Biostatistician - Division of Biostatistics Job Profile Title Biostatistician Job Description Summary The Biostatistician will work closely with faculty biostatisticians in the Penn Statistics in Imaging and
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statistical analyses of data. Hiring range minimum for this position is $50K. Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to
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statistical analyses of data. Hiring range minimum for this position is $50K. Salary offers are made based on the candidate’s qualifications, experience, skills, and education as they directly relate to
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filming, setting up equipment, charting play information, and tracking statistics in addition to other projects as assigned by the coaching staff. Job Description Responsibilities Prepare, breakdown, and
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with MRI and/or TMS is desirable, but not required. Previous experience administering clinical scales is also desirable. The ideal candidate has some statistical knowledge and experience in data analysis